A novel algorithm for image representation using discrete spectrum of the Schrödinger operator
| Autor: | Taous-Meriem Laleg-Kirati, Zineb Kaisserli, Amina Lahmar-Benbernou |
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| Rok vydání: | 2015 |
| Předmět: |
Signal processing
Applied Mathematics Mathematical analysis Eigenfunction Shift operator symbols.namesake Operator (computer programming) Tensor product Computational Theory and Mathematics Multiplication operator Artificial Intelligence Signal Processing Convergence (routing) symbols Computer Vision and Pattern Recognition Electrical and Electronic Engineering Statistics Probability and Uncertainty Algorithm Schrödinger's cat Mathematics |
| Zdroj: | Digital Signal Processing. 40:80-87 |
| ISSN: | 1051-2004 |
| DOI: | 10.1016/j.dsp.2015.01.005 |
| Popis: | This paper extends the recent signal analysis method based on the spectral analysis of the semi-classical Schrodinger operator to two dimensions. An algorithm based on the tensor product approach when writing the eigenfunctions of the semi-classical Schrodinger operator is proposed. The algorithm is described and the effect of some parameters on the convergence of this method are numerically studied. The performance of the algorithm is illustrated through some examples. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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